Triple
T11945251
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Human Condition |
E284279
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object |
Mark Shimmel
Mark Shimmel is a film producer known for his work on the movie "The Human Condition."
|
E955247
|
NE FINISHED |
How this triple was built (4 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Mark Shimmel | Statement: [The Human Condition, producer, Mark Shimmel]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mark Shimmel Context triple: [The Human Condition, producer, Mark Shimmel]
-
A.
Lou Rymkus
Lou Rymkus was an American football coach and former NFL lineman best known for leading the Houston Oilers to the first American Football League championship in 1960.
-
B.
Jeremy Stoppelman
Jeremy Stoppelman is an American entrepreneur best known as the co-founder and longtime CEO of Yelp, a popular online review platform for local businesses.
-
C.
Eric Forman
Eric Forman is the awkward, sarcastic, good-hearted teenager who serves as the central protagonist of the sitcom That '70s Show.
-
D.
Jeremy Doner
Jeremy Doner is an American screenwriter known for his work in film and television, including co-writing the screenplay for the biographical drama "Heartbreaker."
-
E.
Jeremy Doner
Jeremy Doner is a screenwriter best known for co-writing the 2022 biographical musical film "Elvis."
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Mark Shimmel Triple: [The Human Condition, producer, Mark Shimmel]
Generated description
Mark Shimmel is a film producer known for his work on the movie "The Human Condition."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Mark Shimmel Target entity description: Mark Shimmel is a film producer known for his work on the movie "The Human Condition."
-
A.
Lou Rymkus
Lou Rymkus was an American football coach and former NFL lineman best known for leading the Houston Oilers to the first American Football League championship in 1960.
-
B.
Jeremy Stoppelman
Jeremy Stoppelman is an American entrepreneur best known as the co-founder and longtime CEO of Yelp, a popular online review platform for local businesses.
-
C.
Eric Forman
Eric Forman is the awkward, sarcastic, good-hearted teenager who serves as the central protagonist of the sitcom That '70s Show.
-
D.
Jeremy Doner
Jeremy Doner is an American screenwriter known for his work in film and television, including co-writing the screenplay for the biographical drama "Heartbreaker."
-
E.
Jeremy Doner
Jeremy Doner is a screenwriter best known for co-writing the 2022 biographical musical film "Elvis."
- F. None of above. chosen
Provenance (5 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69d6ab2db38c8190b1f0ed6663ef8ada |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d9034444488190925a6fa6c856ed08 |
completed | April 10, 2026, 2:03 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f440ac6c68819094bd27058d13cd4d |
completed | May 1, 2026, 5:57 a.m. |
| NEDg | Description generation | batch_69f448fd4b908190a4f08619d346bec8 |
completed | May 1, 2026, 6:32 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69f44b08da6c8190ae62d8e892bf1971 |
completed | May 1, 2026, 6:41 a.m. |
Created at: April 8, 2026, 9:45 p.m.